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2020 – today
- 2024
[j17]Zhan Liu
, Lin Wang, Yingli Pan:
Calibration estimation for non-probability samples under two distance functions: a comparative study. Commun. Stat. Simul. Comput. 53(3): 1548-1564 (2024)- [j16]Yingli Pan, Kaidong Xu, Sha Wei, Xiaojuan Wang, Zhan Liu:
Efficient distributed optimization for large-scale high-dimensional sparse penalized Huber regression. Commun. Stat. Simul. Comput. 53(7): 3106-3125 (2024) - [j15]Baihua He, Di Xia, Yingli Pan:
High dimensional controlled variable selection with model-X knockoffs in the AFT model. Comput. Stat. 39(4): 1993-2009 (2024) - [j14]Thazin Aye, Jian Fang, Yingli Pan:
On a Population Model in Discrete Periodic Habitat. II. Bistable Pulsating Waves and Propagation Direction. J. Nonlinear Sci. 34(4): 64 (2024) - 2023
- [j13]Yingli Pan, Zhan Liu, Guangyu Song:
Weighted expectile regression with covariates missing at random. Commun. Stat. Simul. Comput. 52(3): 1057-1076 (2023) - [j12]Yingli Pan, Guangyu Song, Zhan Liu:
Statistical inference for case-cohort design under the additive hazards model with covariate adjustment. Commun. Stat. Simul. Comput. 52(10): 4575-4591 (2023) - [j11]Zhan Liu, Junbo Zheng, Yingli Pan:
Doubly robust estimation for non-probability samples with modified intertwined probabilistic factors decoupling. Stat. Anal. Data Min. 16(3): 224-236 (2023) - 2022
- [j10]Yingli Pan:
Feature screening and FDR control with knockoff features for ultrahigh-dimensional right-censored data. Comput. Stat. Data Anal. 173: 107504 (2022) - [j9]Yingli Pan, Lifeng Deng:
Generalized case-cohort and inference for Cox's model with parameter constraints. Commun. Stat. Simul. Comput. 51(7): 3487-3512 (2022) - [j8]Jian Fang, Yingli Pan:
NonMonotonicity of Traveling Wave Profiles for a Unimodal Recursive System. SIAM J. Math. Anal. 54(2): 1669-1694 (2022) - 2021
- [j7]Yingli Pan, Zhan Liu:
Efficient Distributed Learning for Large-Scale Expectile Regression With Sparsity. IEEE Access 9: 64732-64746 (2021) - [j6]Yingli Pan, Zhan Liu, Guangyu Song:
Outlier detection under a covariate-adjusted exponential regression model with censored data. Comput. Stat. 36(2): 961-976 (2021) - 2020
- [j5]Yingli Pan, Zhan Liu, Wen Cai:
Large-Scale Expectile Regression With Covariates Missing at Random. IEEE Access 8: 36502-36513 (2020) - [j4]Yingli Pan, Songlin Liu, Yanli Zhou, Guangyu Song:
Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model. Complex. 2020: 2790123:1-2790123:13 (2020) - [j3]Yingli Pan:
Generalized case-cohort analysis for constrained estimation in the Cox's model. Commun. Stat. Simul. Comput. 49(1): 45-65 (2020)
2010 – 2019
- 2019
- [j2]Yingli Pan, Jieli Ding, Yanyan Liu:
Statistical inference for generalized case-cohort design under the proportional hazards model with parameter constraints. Commun. Stat. Simul. Comput. 48(8): 2467-2486 (2019) - 2018
- [j1]Yingli Pan, Jian Fang, Junjie Wei:
Seasonal Influence on Age-Structured Invasive Species with Yearly Generation. SIAM J. Appl. Math. 78(3): 1842-1862 (2018)
Coauthor Index
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